Join StackAdapt's growing backend engineering team as a Senior Data Engineer and help build a new data engineering initiative to solve a hard and complex big data problem, leveraging new technologies. You will build first and third-party data integrations with external data sources and architect scalable low-latency backend systems and big data pipelines. You will also promote software development best-practices and conduct code reviews.

Help lead the growing backend engineering team. Architect scalable low-latency backend systems and data pipelines. Lead and mentor a team of talented engineers within the backend distributed systems team. Promote software development best-practices and conduct rigorous code reviews. Rigorously identify and solve technical challenges.

Develop a robust platform that supports the creation of high-quality data pipelines and enables fast, efficient, end-to-end experimentation. You will play a key role in data engineering, ensuring our infrastructure is scalable, reliable, and optimized for large-scale data processing.

As a Senior Python Engineer specializing in AI/ML, you will hold a crucial position within our dynamic team, actively contributing to thrilling projects that reshape data analytics for our clients, providing them with a competitive advantage. You'll collaborate with product managers, data scientists, and software engineers to identify AI/ML opportunities and develop innovative Python- or Go-based solutions.

Lead a team designing, building, and scaling the data infrastructure that powers analytics and data-driven decision-making across the company, ensuring data governance, compliance, and security. This role requires a strategic mindset and deep technical understanding of data engineering.

Design, build, and maintain scalable, reliable, and secure data infrastructure that powers analytics, machine learning, and data-driven applications across the company. You’ll collaborate closely with data analysts, data scientists, and infrastructure engineers to enhance data accessibility, governance, and efficiency. Play a key role in shaping the future of our data ecosystem.

Design, build, and operate our foundational data-heavy services: storage (cloud data warehouse, data lake), orchestration (Airflow), batch processing (Spark, SQL), streaming services (Kafka), query federation and caching, time-series db, graph db, and real-time event aggregation stores. Build and maintain data integration & process SDKs for use by internal services and product teams throughout Coinbase.

A Lead Machine Learning Scientist at Monzo is a technical Individual Contributor (IC) leadership position, developing models that make every customer interaction more relevant and timely. The role involves working with billions of rows of data on a modern cloud native data platform, leveraging experience to develop and deploy advanced Machine Learning models and improve customer outcomes.